Actually, R does not accept NA. First, the action is from lm and not from
the R base, and second, NAs are in fact deleted and not accepted.
Function lm() has a na.action argument which is by default na.omit. You
could easily make na_and_inf.omit and use it. You could also use
subset=(w > 0). The help pages are your friends here.
On Tue, 25 Oct 2005, Dimitri Szerman wrote:
> Suppose I I wish to run
>> lm( y ~ x + z + log(w) )
>> where w assumes non-negative values. A problem arises when w=0, as log(0)
> = -Inf, and R doesn't accept that (as it "accepts" NA). Is there a way to
> tell R to do with -Inf the same it does with NA, i.e, to ignore it? (
> Otherwise I have to do something like
>> w[w==0] <- NA
>> which doesn't hurt, but might be a bit incovenient sometimes.)
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
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